Process to study changes in gene expression in granulocytic cells

ABSTRACT

The present invention comprises a method to identify granulocytic cell genes that are differentially expressed upon exposure to a pathogen or in a sterile inflammatory disease by preparing a gene expression profile of a granulocytic cell population exposed to a pathogen or isolated from a subject having a sterile inflammatory disease and comparing that profile to a profile prepared from quiescent granulocytic cells. The present invention is particularly useful for identifying cytokine genes, genes encoding cell surface receptors and genes encoding intermediary signaling molecules. The invention also includes methods to identify a therapeutic agent that modulates the expression of at least one gene in a granulocyte population. Genes which are differentially expressed during neutrophil contact with a pathogen, such as a virulent bacteria, or that are differentially expressed in a subject having a sterile inflammatory disease are of particular importance.

This application is related to application Ser. No. 08/510,032, Ser. No. 60/056,844 and application Ser. No. 08/688,514, all of which are herein incorporated by reference in their entirety. All published articles, patents and other publications cited throughout this application are herein incorporated by reference in their entirety.

TECHNICAL FIELD

This invention relates to compositions and methods useful to identify agents that modulate the response of granulocytes to inflammatory and infectious conditions.

BACKGROUND OF THE INVENTION

Granulocytes (i.e., neutrophils, eosinophils and basophils) are involved in the immune response elicited by inflammation and infection.

Inflammation

Inflammation is a localized protective response elicited by injury or destruction of tissues which serves to destroy, dilute or wall off both the injurious agent and the injured tissue. It is characterized by fenestration of the microvasculature, leakages of the elements of blood into the interstitial spaces, and migration of leukocytes into the inflamed tissue. On a macroscopic level, this is usually accompanied by the familiar clinical signs of erythema, edema, tenderness (hyperalgesia), and pain. During this complex response, chemical mediators such as histamine, 5-hydroxytryptamine, various chemotactic factors, bradykinin, leukotrienes, and prostaglandins are released locally. Phagocytic cells migrate into the area, and cellular lysosomal membranes may be ruptured, releasing lytic enzymes. All of these events may contribute to the inflammatory response.

Inflammation is initiated by, among other things, trauma, tissue necrosis, infection or immune reactions. The immediate response is temporary vasoconstriction. Vasoconstriction is followed within seconds by the acute vascular response resulting in increased blood flow (hyperemia) and edema. The acute phase is also characterized by the margination of polymorphonuclear white blood cells (neutrophils) next to endothelial cells, followed by emigration of neutrophils into the adjacent tissue. Margination is recognized by the lining up of neutrophils along the endothelium of vessels. Emigration occurs by passage of the inflammatory cells between endothelial cells.

Neutrophils

Neutrophils are the first wave of cellular attack on invading organisms and are the characteristic cells of acute inflammation. The appearance of neutrophils in areas of inflammation may be caused by chemicals released from bacteria, factors produced nonspecifically from necrotic tissue or antibody reacting with antigen. Neutrophils use an actin-rich cytoskeleton to move in a directed manner along a chemotactic gradient from the bloodstream to an inflammatory site where they ingest particles (e.g,. bacteria) and immune complexes bearing IgG (via FcR) and/or breakdown products of the complement component C3.

Neutrophils belong to a category of white blood cells known as polymorphonuclear white blood cells. The blood cells with single nuclei (mononuclear cells) form the white blood cell population that includes macrophages, T and B cells. White blood cells that contain segmented nuclei are broadly classified as polymorphonuclear. Polymorphonuclear white blood cells (or “granulocytes”) are further subdivided into three major populations on the basis of the staining properties of their cytoplasmic granules in standard hematologic smears or tissue preparations: neutrophils staining pink, eosinophils staining red and basophils staining blue.

Neutrophils (also referred to as polymorphonuclear neutrophils-PMNs) make up 50% to 70% of the white blood cells (WBCs) of the peripheral blood and may be found scattered diffusely in many tissues, although they are most frequently found in areas of acute inflammation or acute necrosis. Like other WBCs, neutrophils are produced from precursor cells in the bone marrow and released into the blood when mature. After entering the circulation, neutrophils are thought to last only 1 or 2 days.

Neutrophils are characterized by numerous cytoplasmic granules that contain highly destructive enzymes that must be kept isolated from the cytoplasm. These granules contain a number of oxygen-independent enzymes as well as oxygen-dependent mechanisms of killing. Upon attraction to sites of inflammation, neutrophils attempt to engulf and digest bacteria coated with antibody and complement. Phagocytosis by neutrophils is also usually accompanied by release of the lysosomal enzymes into the tissue spaces, particularly if the organism is difficult for the neutrophil to digest.

At least three cytoplasmic granules are identifiable in neutrophils: specific granules containing lactoferrin, B cytochrome, the complement receptor CR3 and β2-integrin; azurophilic granules containing acid hydrolases and other enzymes; and a third granule containing gelatinase.

In addition to the role neutrophils and other granulocytic cells play in immune response to pathogens, including bacterial infection, neutrophils and other granulocytic cells play an unwanted role in many chronic inflammatory diseases. There are many disease states in which excessive or unregulated granulocytic cell infiltration and activation are implicated in exacerbating and/or causing the disease. For instance, many inflammatory diseases are characterized by massive neutrophil infiltration, such as psoriasis, inflammatory bowel disease, Crohn's disease, asthma, cardiac and renal reperfusion injury, adult respiratory distress syndrome, rheumatoid arthritis, thrombosis and glomerulonephritis. All of these diseases are associated with increased IL-8 production which may be responsible for the chemotaxis of neutrophils into the inflammatory site.

While the role of neutrophil infiltration and activation in inflammation is well known, the biosynthetic responses of neutrophils to pathogens, chemotactic agents, proinflammatory molecules, etc. are not as well understood. Neutrophils were once thought to be in a state of terminal differentiation, thereby lacking biosynthetic ability. This view is consistent with the relative scarcity in mature circulating neutrophils of ribosomes and endoplasmic reticulum and with the ability of neutrophils to ingest particles when RNA and/or protein synthesis has been inhibited. More recently it has been demonstrated that neutrophils perform more active roles in their response to environmental stimuli.

It has thus recently been established that neutrophils synthesize de novo important macromolecules including, but not limited to interleukin (IL) 1, I1-6, I1-8, tumor necrosis factor (TNFα), granulocyte and macrophage colony-stimulating factors, interferon α (IFNα), intercellular adhesion molecule (ICAM-1) and membrane and cystoskeletal molecules, such as major histocompatibility class I antigens and actin (Beaulieu et al (1992) J. Biolog. Chem. 267(1):426-432; Arnold et al. (1993) Infect. Immun. 61(6):2545-2552; and Elsner et al. (1995) Immunobiol 193:456-464). No study, however, has taken a systematic approach to assess the transcriptional response during neutrophil activation via contact with a pathogen or from neutrophils isolated from a subject with a sterile inflammatory disease.

Eosinophils and Basophils

Eosinophils are another granulocytic or polymorphonuclear white blood cell that are involved in the inflammatory response. Eosinophils are found predominately in two types of inflammation: allergy and parasite infections.

The role of eosinophils in the host response to parasites is thought to be mediated through the components of the eosinophilic granules. Eosinophils are cytotoxic to schistosome larvae through an antibody-dependent cell-mediated mechanism. Eosinophil cationic proteins are highly toxic for schistosomes and may be responsible for binding of eosinophils to parasitic worms as well as fragmentation of the parasite.

The role of eosinophils in acute inflammation is not fully understood. On one hand, there is evidence that enzymes in eosinophils may serve to limit the extent of inflammation by neutralizing mediators of anaphylaxis, such as LTC4, histamine and platelet-activating factor. On the other hand, there is increasing evidence that cationic proteins in eosinophilic granules are mediators of acute inflammation. Eosinophil activation is associated with acute tissue injury and cause an intense vasoconstriction in lung microvasculature, followed by increased pulmonary vascular permeability and pulmonary edema.

Basophils or mast cells are the other major cell type characterized as a granulocytic or polymorphonuclear white blood cell. Mast cells contain granules with a variety of biologically active agents which, when released extracellularly (degranulation), cause dilation of the smooth muscle of arterioles (vasodilation), increased blood flow, and contraction of endothelial cells, thereby opening up vessel walls to permit egress of antibodies, complement or inflammatory cells into tissue spaces.

SUMMARY OF THE INVENTION

While the role of neutrophils and other granulocytic cells in inflammation and/or the immunological response to infection has been the subject of intense study, little is known about the global transcriptional response of granulocytes during cell activation. The present inventors have devised an approach to systematically assess the transcriptional response from granulocytic cells activated through contact with a pathogen or from granulocytic cells isolated from a subject with a sterile inflammatory disease.

The present invention includes a method to identify granulocytic cell genes that are differentially expressed upon exposure to a pathogen by preparing a gene expression profile of a granulocytic cell population exposed to a pathogen and comparing that profile to a profile prepared from quiescent granulocytic cells. cDNA species, and therefore genes, which are expressed de novo upon neutrophil contact with a pathogen are thereby identified. The present invention is particularly useful for identifying cytokine genes, genes encoding cell surface receptors and genes encoding intermediary signaling molecules.

The present invention also includes a method to identify granulocytic cell genes that are differentially expressed in response to a sterile inflammatory disease by preparing a gene expression profile of a granulocytic cell population isolated from a subject exhibiting the symptoms of a sterile inflammatory disease and comparing that profile to a profile prepared from granulocytic cells isolated from a normal granulocytic cell population. cDNA species, and therefore genes, which are differentially expressed in the granulocytic cells of a subject exhibiting the symptoms of a sterile inflammatory disease are thereby identified.

The present invention also includes a method to identify granulocytic cell genes that are differentially expressed upon exposure of a granulocytic cell population to an agonist (pro-inflammatory molecule) by preparing a gene expression profile of a granulocytic cell population contacted with an agonist and comparing that profile to a profile prepared from noncontacted granulocytic cells, thereby identifying cDNA species, and therefore genes, which are expressed de novo in the granulocytic cells contacted with the agonist are thereby identified.

The present invention further includes a method to identify a therapeutic or prophylactic agent that modulates the response of a granulocyte population to a pathogen, comprising the steps of preparing a first gene expression profile of a quiescent granulocyte population, preparing a second gene expression profile of a granulocyte population exposed to a pathogen, treating said exposed granulocyte population with the agent, preparing a third gene expression profile of the treated granulocyte population, comparing the first, second and third gene expression profiles and identifying agents that modulate the response of a granulocyte population to the pathogen.

Another aspect of the invention is a method to identify a therapeutic agent that modulates the expression of genes in a granulocyte population found in a subject having Another aspect of the invention includes a method to identify a therapeutic or prophylactic agent that modulates the response of a granulocyte cell population in a subject having a sterile inflammatory disease, comprising the steps of preparing a first gene expression profile of a granulocyte population in a subject having a sterile inflammatory disease, treating the granulocyte population with the agent, preparing a second gene expression profile of the treated granulocyte population, comparing the first and second gene expression profiles with the gene expression profile of a normal granulocyte population and identifying agents that modulate the expression of genes whose transcription levels are altered in the granulocyte population of the subject as compared with normal granulocyte population.

A further aspect of the present invention is a method to identify a therapeutic or prophylactic agent that modulates the response of a granulocytic population to an agonist (pro-inflammatory molecule), comprising the steps of preparing a first gene expression profile of a quiescent granulocyte population, preparing a second gene expression profile of a granulocyte population exposed to an agonist, treating the exposed granulocyte population with the agent, preparing a third gene expression profile of the treated granulocyte population, comparing the first, second and third gene expression profiles and identifying agents that modulate the response of a granulocytic population exposed to an agonist.

The present invention also includes a method of diagnosing the exposure of a subject to a pathogen, comprising the steps of preparing a first gene expression profile of a granulocyte population from the subject, comparing the first gene expression profile to a second gene expression profile of a granulocyte population exposed to that pathogen and to a third gene expression profile of a normal granulocyte preparation and diagnosing whether the subject has been exposed to a pathogen.

Another aspect of the invention includes a method of diagnosing a sterile inflammatory disease in a subject, comprising the steps of preparing a first gene expression profile of a granulocyte population from the subject, comparing the first gene expression profile to at least one second gene expression profile from a granulocyte population from a subject having a sterile inflammatory disease and to a third gene expression profile of a normal granulocyte preparation and thereby determining if the subject has a sterile inflammatory disease.

The present invention also includes a method of identifying new bacterial virulence factor genes by preparing a first gene expression profile of a quiescent granulocyte population, preparing a second gene expression profile of a granulocyte population exposed to a virulent or avirulent bacterial strain, preparing a third gene expression profile from a granulocyte population exposed to a bacterial strain with a mutation in a putative bacterial virulence factor gene, comparing the first, second and third gene expression profiles and identifying a bacterial virulence factor gene.

Another aspect of the invention is a composition comprising a grouping of nucleic acids that correspond to at least a part of one or more of the genes whose expression levels are modulated in a granulocyte population that has been exposed to a pathogen, these nucleic acids being affixed to a solid support.

Lastly, an aspect of the invention is a composition comprising a grouping of nucleic acids that correspond to at least part of one or more genes whose expression levels are modulated in a granulocyte population found in a subject having a sterile inflammatory disease, these nucleic acids being affixed to a solid support.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 FIG. 1 is an autoradiogram of the expression profile generated from cDNAs made with RNA isolated from neutrophils exposed to avirulent Escherichia coli and virulent and avirulent Yersinia pestis.

FIG. 2 FIG. 2 is an autoradiogram of the expression profile generated from cDNAs made with RNA isolated from neutrophils exposed to virulent and avirulent E. coli, virulent and avirulent Y. pestis, LPS, GM-CSF, TNFα, or γIFN.

FIG. 3 FIG. 3 is an autoradiogram of the expression profile generated from cDNAs made with RNA isolated from neutrophils exposed to avirulent E. coli and virulent and avirulent Y. pestis. All possible 12 anchoring oligo d(T)n1, n2 were used to generate a complete expression profile for the enzyme BglII.

FIG. 4 FIG. 4 represents a summary of genes which are differentially expressed in neutrophils upon exposure to virulent and avirulent E. coli and Y. pestis.

FIG. 5 FIG. 5 is an autoradiogram of the expression profile generated from cDNAs made with RNA isolated from neutrophils exposed to avirulent E. coli and virulent and avirulent Y. pestis. All possible 12 anchoring oligo d(T)n1, n2 were used to generate a complete expression profile for the enzyme BamHI.

FIG. 6 is a section of an autoradiogram showing the differences in band intensity for 2 mRNA species when neutrophils are exposed to avirulent E. coli and virulent and avirulent Y. pestis.

MODES OF CARRYING OUT THE INVENTION

General Description

The response of neutrophils to pathogens, including bacterial pathogens, is a subject of primary importance in view of the need to find ways to modulate the immune response to infection. Similarly, the response of neutrophils to agonists (pro-inflammatory molecules) is a subject of primary importance in view of the need to find better ways of controlling inflammation in various disease states. One means of assessing the response of neutrophils to pathogens and agonists is to measure the ability of neutrophils to synthesize specific RNA de novo upon contact with the pathogen or agonist.

The following discussion presents a general description of the invention as well definitions for certain terms used herein.

Definitions

Granulocytic cells, also known as polymorphonuclear white blood cells, include neutrophils, also known as polymorphonuclear neutrophils or peripheral blood neutrophils, eosinophils, and basophils, also referred to a mast cells.

The term “pathogen” refers to any infectious organism including bacteria, viruses, parasites, mycoplasma, protozoans, and fungi (including molds and yeast). Pathogenic bacteria include, but are not limited to Staphylococci (e.g. aureus), Streptococci (e.g. pneumoniae), Clostridia (e.g. perfringens), Neisseria (e.g. gonorrhoeae), Enterobacteriaceae (e.g. coli as well as Klebsiella, Salmonella, Shigella, Yersinia and Proteus), Helicobacter (e.g. pylori), Vibrio (e.g. cholerae), Campylobacter (e.g. jejuni), Pseudomonas (e.g. aeruginosa), Haemophilus (e.g. influenzae), Bordetella (e.g. pertussis), Mycoplasma (e.g. pneumoniae), Ureaplasma (e.g. urealyticum), Legionella (e.g. pneumophila), Spirochetes (e.g. Treponema, Leptospira and Borrelia), Mycobacteria (e.g. tuberculosis, smegmatis), Actinomyces (e.g. (israelii), Nocardia (e.g. asteroides), Chlamydia (e.g. trachomatis), Rickettsia, Coxiella, Ehrilichia, Rochalimaea, Brucella, Yersinia, Fracisella, and Pasteurella.

The term “sterile inflammatory disease” refers to any inflammatory disease caused by immune or nonimmune mechanisms not directly linked to infection (see Stewart et al.). Examples of sterile inflammatory diseases include, but are not limited to psoriasis, rheumatoid arthritis, glomerulonephritis, asthma, cardiac and renal reperfusion injury, thrombosis, adult respiratory distress syndrome, inflammatory bowel diseases such as Crohn's disease and ulcerative colitis and periodontal disease.

The phrase “solid support” refers to any support to which nucleic acids can be bound or immobilized, including nitrocellulose, nylon, glass, other solid supports which are positively charged and nanochannel glass arrays disclosed by Beattie (WO 95/1175).

The phrase “gene expression profile”, also referred to as a “differential expression profile” or “expression profile” refers to any representation of the expression of at least one mRNA species in a cell sample or population. For instance, a gene expression profile can refer to an autoradiograph of labeled cDNA fragments produced from total cellular mRNA separated on the basis of size by known procedures. Such procedures include slab gel electrophoresis, capillary gene electrophoresis, high performance liquid chromatography, and the like. Digitized representations of scanned electrophoresis gels are also included as are two and three dimensional representations of the digitized data.

While a gene expression profile encompasses a representation of the expression level of at least one mRNA species, in practice, the typical gene expression profile represents the expression level of multiple mRNA species. For instance, a gene expression profile useful in the methods and compositions disclosed herein represents the expression levels of at least about 5, 10, 20, 50, 100, 150, 200, 300, 500, 1000 or more preferably, substantially all of the detectable mRNA species in a cell sample or population. Particularly preferred are gene expression profiles or arrays affixed to a solid support that contain a sufficient representative number of mRNA species whose expression levels are modulated under the relevant infection, disease, screening, treatment or other experimental conditions. In some instances a sufficient representative number of such mRNA species will be about 1, 2, 5, 10, 15, 20, 25, 30, 40, 50, 50-75 or 100.

Gene expression profiles can be produced by any means known in the art, including, but not limited to the methods disclosed by: Liang et al. (1992) Science 257:967-971; Ivanova et al. (1995) Nucleic Acids Res. 23:29542958; Guilfoyl et al. (1997) Nucleic Acids Res. 25(9):1854-1858; Chee et al. (1996) Science 274:610-614; Velculescu et al. (1995) Science 270:484-487; Fischer et al. (1995) Proc. Natl. Acad. Sci. USA 92(12):5331-5335; and Kato (1995) Nucleic Acids Res. 23(18):3685-3690. Preferably, and Prashar et al. (1996) Proc. Natl. Acad. Sci. USA 93:659-663.

As an example, gene expression profiles as described herein are made to identify one or more genes whose expression levels are modulated in a granulocytic cell population exposed to a pathogen or isolated from a subject having a sterile inflammatory disease. The assaying of the modulation of gene expression via the production of a gene expression profile generally involves the production of cDNA from polyA RNA (mRNA) isolated from granulocytes as described below.

The mRNAs are isolated from a granulocytic cell source. The cells may be obtained from an in vivo source, such as a peripheral blood. As is apparent to one skilled in the art, any granulocytic cell type may be used, however, neutrophils are preferred. Furthermore, the peripheral blood cells that are initially obtained may be subjected to various separation techniques (e.g., flow cytometry, density gradients).

mRNAs are isolated from cells by any one of a variety of techniques. Numerous techniques are well known (see e.g., Sambrook et al., Molecular Cloning: A Laboratory Approach, Cold Spring harbor Press, NY, 1987; Ausubel et., Current Protocols in Molecular Biology, Greene Publishing Co. NY, 1995). In general, these techniques first lyse the cells and then enrich for or purify RNA. In one such protocol. Cells are lysed in a Tris-buffered solution containing SDS. The lysate is extracted with phenol/chloroform, and nucleic acids are precipitated. Purification of poly(A)—containing RNA is not a requirement. The mRNAs may, however, be purified from crude preparations of nucleic acids or from total RNA by chromatography, such as binding and elution from oligo(dT)-cellulose or poly(U)-Sepharose®. As stated above, other protocols and methods for isolation of RNAs may be substituted.

The mRNAs are reverse transcribed using an RNA-directed DNA polymerase, such as reverse transcriptase isolated from AMV, MoMuLV or recombinantly produced. Many commercial sources of enzyme are available (e.g., Pharmacia, New England Biolabs, Stratagene Cloning Systems). Suitable buffers, cofactors, and conditions are well known and supplied by manufacturers (see also, Sambrook et al., supra; Ausubel et al., supra).

Various oligonucleotides are used in the production of cDNA. In particular, the methods utilize oligonucleotide primers for cDNA synthesis, adapters, and primers for amplification. Oligonucleotides are generally synthesized so single strands by standard chemistry techniques, including automated synthesis. Oligonucleotides are subsequently de-protected and may be purified by precipitation with ethanol, chromatographed using a sized or reversed-phase column, denaturing polyacrylamide gel electrophoresis, high-pressure liquid chromatography (HPLC), or other suitable method. In addition, within certain preferred embodiments, a functional group, such as biotin, is incorporated preferably at the 5′ or 3′ terminal nucleotide. A biotinylated oligonucleotide may be synthesized using pre-coupled nucleotides, or alternatively, biotin may be conjugated to the oligonucleotide using standard chemical reactions. Other functional groups, such as florescent dyes, radioactive molecules, digoxigenin, and the like, may also be incorporated.

Partially-double stranded adaptors are formed from single stranded oligonucleotides by annealing complementary single-stranded oligonucleotides that are chemically synthesized or by enzymatic synthesis. Following synthesis of each strand, the two oligonucleotide strands are mixed together in a buffered salt solution (e.g., 1 M NaCl, 100 mM Tris-HCl pH.8.0, 10 mM EDTA) or in a buffered solution containing Mg² (e.g., 10 mM MgCl₂) and annealed by heating to high temperature and slow cooling to room temperature.

The oligonucleotide primer that primes first strand DNA synthesis comprises a 5′ sequence incapable of hybridizing to a polyA tail of the mRNAs, and a 3′ sequence that hybridizes to a portion of the polyA tail of the mRNAs and at least one non-polyA nucleotide immediately upstream of the polyA tail. The 5′ sequence is preferably a sufficient length that can serve as a primer for amplification. The 5′ sequence also preferably has an average G+C content and does not contain large palindromic sequence; some palindromes, such as a recognition sequence for a restriction enzyme, may be acceptable. Examples of suitable 5′ sequences are

-   CTCTCAAGGATC:TACCGCT (SEQ ID No. ______), -   CAGGGTAGACGACGCTACGC (SEQ ID No. ______), and -   TAATACCGCGCCACATAGCA (SEQ ID No. ______).

The 5′ sequence is joined to a 3′ sequence comprising sequence that hybridizes to a portion of the polyA tail of mRNAs and at least one non-polyA nucleotide immediately upstream. Although the polyA-hybridizing sequence is typically a homopolymer of dT or dU, it need only contain a sufficient number of dT or dU bases to hybridize to polyA under the conditions employed. Both oligo-dT and oligo-dU primers have been used and give comparable results. Thus, other bases may be interspersed or concentrated, as long as hybridization is not impeded. Typically, 12 to 18 bases or 12 to 30 bases of dT or dU will be used. However, as one skilled in the art appreciates, the length need only be sufficient to obtain hybridization. The non-polyA nucleotide is A, C, or G, or a nucleotide derivative, such as inosinate. If one non-polyA nucleotide is used, then three oligonucleotide primers are needed to hybridize to all mRNAs. If two non-polyA nucleotides are used, then 12 primers are needed to hybridize to all mRNAs (AA, AC, AG, AT, CA, CC, CG, CT, GA, GC, GG, GT). If three non-poly A nucleotides are used then 48 primers are needed (3×4×4). Although there is no theoretical upper limit on the number of non-polyA nucleotides, practical considerations make the use of one or two non-polyA nucleotides preferable.

For cDNA synthesis, the mRNAs are either subdivided into three (if one non-polyA nucleotide is used) or 12 (if two non-polyA nucleotides are used) fractions, each containing a single oligonucleotide primer, or the primers may be pooled and contacted with a mRNA preparation. Other subdivisions may alternatively be used. Briefly, first strand cDNA is initiated from the oligonucleotide primer by reverse transcriptase (RTase). As noted above, RTase may be obtained from numerous sources and protocols are well known. Second strand synthesis may be performed by RTase (Gubler and Hoffman, Gene 25: 263, 1983), which also has a DNA-directed DNA polymerase activity, with or without a specific primer, by DNA polymerase 1 in conjunction with RNaseH and DNA ligase, or other equivalent methods. The double-stranded cDNA is generally treated by phenol:chloroform extraction and ethanol precipitation to remove protein and free nucleotides.

Double-stranded cDNA is subsequently digested with an agent that cleaves in a sequence-specific manner. Such cleaving agents include restriction enzymes. Restriction enzyme digestion is preferred; enzymes that are relatively infrequent cutters (e.g., ≧5 bp recognition site) are preferred and those that leave overhanging ends are especially preferred. A restriction enzyme with a six base pair recognition site cuts approximately 8% of cDNAs, so that approximately 12 such restriction enzymes should be needed to digest every cDNA at least once. By using 30 restriction enzymes, digestion of every cDNA is assured.

The adapters for use in the present invention are designed such that the two strands are only partially complementary and only one of the nucleic acid strands that the adapter is ligated to can be amplified. Thus, the adapter is partially double-stranded (i.e., comprising two partially hybridized nucleic acid strands), wherein portions of the two strands are non-complementary to each other and portions of the two strands are complementary to each other. Conceptually, the adapter is “Y-shaped” or “bubble-shaped.” When the 5′ region is non-paired, the 3′ end of other strand cannot be extended by a polymerase to make a complementary copy. The ligated adapter can also be blocked at the 3′ end to eliminate extension during subsequent amplifications. Blocking groups include dideoxynucleotides or any other agent capable of blocking the 3′-OH. In this type of adapter (“Y-shaped”), the non-complementary portion of the upper strand of the adapters is preferably a length that can serve as a primer for amplification. As noted above, the non-complementary portion of the lower strand need only be one base, however, a longer sequence is preferable (e.g., 3 to 20 bases; 3 to 15 bases; 5 to 15 bases; or 14 to 24 bases). The complementary portion of the adapter should be long enough to form a duplex under conditions of litigation.

For “bubble-shaped” adapters, the non-complementary portion of the upper strand is preferably a length that can serve as a primer for amplification. Thus, this portion is preferably 15 to 30 bases. Alternatively, the adapter can have a structure similar to the Y-shaped adapter, but has a 3′ end that contains a moiety that a DNA polymerase cannot extend from.

Amplification primers are also used in the present invention. Two different amplification steps are performed in the preferred aspect. In the first, the 3′ end (referenced to mRNA) of double stranded cDNA that has been cleaved and ligated with an adapter is amplified. For this amplification, either a single primer or a primer pair is used. The sequence of the single primer comprises at least a portion of the 5′ sequence of the oligonucleotide primer used for first strand cDNA synthesis. The portion need only be long enough to serve as an amplification primer. The primer pair consists of a first primer whose sequence comprises at least a portion of the 5′ sequence of the oligonucleotide primer as described above; and a second primer whose sequence comprises at least a portion of the sequence of one strand of the adapter in the non-complementary portion. The primer will generally contain all the sequence of the non-complementary potion, but may contain less of the sequence, especially when the non-complementary portion is very long, or more of the sequence, especially when the non-complementary portion is very short. In some embodiments, the primer will contain sequence of the complementary portion, as long as that sequence does not appreciably hybridize to the other strand of the adapter under the amplification conditions employed, for example, in one embodiment, the primer sequence comprises four bases of the complementary region to yield a 19 base primer, and amplification cycles are performed at 56° C. (annealing temperature), 72° C. (extension temperature), and 94° C. (denaturation temperature). In another embodiment, the primer is 25 bases long and has 10 bases of sequence in the complementary portion. Amplification cycles for this primer are performed at 68° C. (annealing and extension temperature) and 94° C. (denaturation temperature). By using these longer primers, the specificity of priming is increased.

The design of the amplification primers will generally follow well-known guidelines, such as average G-C content, absence of hairpin structures, inability to form primer-dimers and the like. At times, however, it will be recognized that deviations from such guidelines may be appropriate or desirable.

After amplification, the lengths of the amplified fragments are determined. Any procedure that separate nucleic acids on the basis of size and allows detection or identification of the nucleic acids is acceptable. Such procedures include slap get electrophoresis, capillary gel electrophoresis, high performance liquid chromatography, and the like.

Electrophoresis is technique based on the mobility of DNA in an electric field. Negatively charged DNA migrates towards a positive electrode at a rate dependent on their total charge, size, and shape. Most often, DNA is electrophoresed in agarose or polyacrylamide gels. For maximal resolution, polyacrylamide is preferred and for maximal linearity, a denaturant, such as urea is present. A typical get setup uses a 19:1 mixture of acrylamide:bisacrylamide and a Tris-borate buffer. DNA samples are denatured and applied to the get, which is usually sandwiched between glass plates. A typical procedure can be found in Sambrook et al (Molecular Cloning: A Laboratory Approach, Cold Spring Harbor Press, NY, 1989) or Ausubel et al. (Current Protocols in Molecular Biology, Greene Publishing Co., NY, 1995). Variations may be substituted as long as sufficient resolution is obtained.

Capillary electrophoresis (CE) in its various manifestations (free solution, isotachophoresis, isoelectric focusing, polyacrylamide get. micellar electrokinetic “chromatography”) allows high resolution separation of very small sample volumes. Briefly, in capillary electrophoresis, a neutral coated capillary, such as a 50 μm×37 cm column (eCAP neutral, Beckman Instruments, CA), is filled with a linear polyacrylamide (e.g., 0.2% polyacrylamide), a sample is introduced by high-pressure injection followed by an injection of running buffer (e.g., 1× TBE). the sample is electrophoresed and fragments are detected. An order of magnitude increase can be achieved with the use of capillary electrophoresis. Capillaries may be used in parallel for increased throughput (Smith et al. (1990) Nuc. Acids. Res. 18:4417; Mathies and Huang (1992) Nature 359:167). Because of the small sample volume that can be loaded onto a capillary, sample may be concentrated to increase level of detection. One means of concentration is sample stacking (Chien and Burgi (1992) Anal. Cheni 64:489A). In sample stacking, a large volume of sample in a low concentration buffer is introduced to the capillary column. the capillary is then filled with a buffer of the same composition, but at higher concentration, such that when the sample ions reach the capillary buffer with a lower electric field, they stack into a concentrated zone. Sample stacking can increase detection by one to three orders of magnitude. Other methods of concentration, such as isotachophoresis, may also be used.

High-performance liquid chromatography (HPLC) is a chromatographic separation technique that separates compounds in solution. HPLC instruments consist of a reservoir of mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by injecting an aliquot of the sample mixture onto the column. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. IP-RO-HPLC on non-porous PS/DVB particles with chemically bonded alkyl chains can also be used to analyze nucleic acid molecules on the basis of size (Huber et al. (1993) Anal. Biochem. 121:351; Huber et al. (1993) Nuc. Acids Res. 21:1061; Huber et al. (1993) Biotechniques 16:898).

In each of these analysis techniques, the amplified fragments are detected. A variety of labels can be used to assist in detection. Such labels include, but are not limited to, radioactive molecules (e.g., ³⁵S, ³²P, ³³P) fluorescent molecules, and mass spectrometric tags. The labels may be attached to the oligonucleotide primers or to nucleotides that are incorporated during DNA synthesis, including amplification.

Radioactive nucleotides may be obtained from commercial sources; radioactive primers may be readily generated by transfer of label from γ-³²P-ATP to a 5′-OH group by a kinase (e.g., T4 polynucleotide kinase). Detection systems include autoradiograph, phosphor image analysis and the like.

Fluorescent nucleotides may be obtained from commercial sources (e.g., ABI, Foster city, CA) or generated by chemical reaction using appropriately derivatized dyes. Oligonucleotide primers can be labeled, for example, using succinimidyl esters to conjugate to amine-modified oligonucleotides. A variety of florescent dyes may be used, including 6 carboxyfluorescein, other carboxyfluorescein derivatives, carboxyrhodamine derivatives, Texas red derivatives, and the like. Detection systems include photomultiplier tubes with appropriate wave-length filters for the dyes used. DNA sequence analysis systems, such as produced by ABI (Foster City, Calif.), may be used.

After separation of the amplified cDNA fragments, cDNA fragments which correspond to differentially expressed mRNA species are isolated, reamplified and sequenced according to standard procedures. For instance, bands corresponding the cDNA fragments can be cut from the electrophoresis gel, reamplified and subcloned into any available vector, including pCRscript using the PCR script cloning kit (Stratagene). The insert is then sequenced using standard procedures, such as cycle sequencing on an ABI sequencer.

An additional means of analysis comprises hybridization of the amplified fragments to one or more sets of oligonucleotides immobilized on a solid substrate. Historically, the solid substrate is a membrane, such as nitrocellulose or nylon. More recently, the substrate is a silicon wafer or a borosilicate slide. The substrate may be porous (Beattie et al. WO 95/11755) or solid. Oligonucleotides are synthesized in situ or synthesized prior to deposition on the substrate. Various chemistries are known for attaching oligonucleotide. Many of these attachment chemistries rely upon functionalizing oligonucleotides to contain a primary amine group. The oligonucleotides are arranged in an array form, such that the position of each oligonucleotide sequence can be determined.

The amplified fragments, which are generally labeled according to one of the methods described herein, are denatured and applied to the oligonucleotides on the substrate under appropriate salt and temperature conditions. In certain embodiments, the conditions are chosen to favor hybridization of exact complementary matches and disfavor hybridization of mismatches. Unhybridized nucleic acids are washed off and the hybridized molecules detected, generally both for position and quantity. The detection method will depend upon the label used. Radioactive labels, fluorescent labels and mass spectrometry label are among the suitable labels.

The present invention as set forth in the specific embodiments, includes methods to identify a therapeutic agent that modulates the expression of at least one gene in a granulocyte population. Genes which are differentially expressed during neutrophil contact with a pathogen, such as a virulent bacteria, or that are differentially expressed in a subject having a sterile inflammatory disease are of particular importance.

In general, the method to identify a therapeutic or prophylactic agent that modulates the response of a granulocyte population to a pathogen, comprises the steps of preparing a first gene expression profile of a quiescent granulocyte population, preparing a second gene expression profile of a granulocyte population exposed to a pathogen, treating the exposed granulocyte population with the agent, preparing a third gene expression profile of the treated granulocyte population, comparing the first, second and third gene expression profiles and identifying agents that modulate the response of a granulocytic population to the pathogen.

In another format, the method is used to identify a therapeutic agent that modulates the expression of genes in a granulocyte population found in a subject having a sterile inflammatory disease. The general method comprises the steps of preparing a first gene expression profile of a granulocyte population in a subject having a sterile inflammatory disease, treating the granulocyte population with the agent, preparing a second gene expression profile of the treated granulocyte population, comparing the first and second gene expression profile with the gene expression profile of a normal granulocyte preparation and identifying agents that modulate the expression of genes whose transcription levels are altered in the granulocyte population of the subject as compared with normal granulocyte population.

While the above methods for identifying a therapeutic agent comprise the comparison of gene expression profiles from treated and not-treated granulocytic cells, many other variations are immediately envisioned by one of ordinary skill in the art. As an example, as a variation of a method to identify a therapeutic or prophylactic agent that modulates the response of a granulocytic population to a pathogen, the second gene expression profile of a granulocyte population exposed to a pathogen and the third gene expression profile of the treated granulocyte population can each be independently normalized using the first gene expression profile prepared from a quiescent granulocyte population. Normalization of the profiles can easily be achieved by scanning autoradiographs corresponding to each profile, and subtracting the digitized values corresponding to each band on the autoradiograph from quiescent granulocytic cells from the digitized value for each corresponding band on autoradiographs corresponding to the second and third gene expression profiles. After normalization, the second and third gene expression profils can be compared directly to detect cDNA fragments which correspond to mRNA species which are differentially expressed upon exposure of the granulocyte population to the agent to be tested.

Specific Embodiments

EXAMPLE 1

Production of Gene Expression Profiles Generated from cDNAs Made with RNA Isolated from Neutrophils Exposed to Virulent and Avirulent Bacteria.

Expression profiles of RNA expression levels from neutrophils exposed to various bacteria offer a powerful means of identifying genes that are specifically regulated in response to bacterial infection. As an example, the production of expression profiles from neutrophils exposed to virulent and avirulent E. coli and Y. pestis allow the identification of neutrophil genes that are specifically regulated in response to bacterial infection.

Neutrophils were isolated from normal donor peripheral blood following the LPS-free method. Peripheral blood was isolated using a butterfly needle and a syringe containing 5 cc ACD, 5 cc of 6% Dextran (in normal saline). After 30 minutes of settling, plasma was collected and HBSS (without Ca⁺⁺ or Mg⁺⁺) was added to a total volume of 40 ml. The plasma was centrifuged (1500 rpm, for 15 m at 4° C.), the supernatant decanted and cold HBSS added to resuspend the cells. The cell suspension was then layered onto a cold Ficoll Hypaq, centrifuged at 500×g for 30 m at 4° C. The pellet contains polymorphonuclear neutrophils. Neutrophils can also be isolated by other commonly used methods such as those disclosed in Current Protocols of Immunology (John Wiley & Sons, Inc.), Babior et al. (1981) In:Leokocyte Function, Cline, M. J. Ed., p.1-38 (Church Livingstone, N.Y.), and Haslett et al. (1985) Am. J. Pathol. 119:101-110.

Following isolation, neutrophils were incubated with E. coli or Y. pestis. Before incubation, bacteria are harvested and washed in phosphate buffered saline and opsonized either autologous human serum or complement factor C7 deficient human serum (SIGMA). Incubation was at a ratio of approximately a PMN:bacteria ratio of 1:20 in RPMI 1640 (HEPES buffered) with heat inactivated Fetal Bovine Serum at 37° C. with gentle mixing in a rotary shaker bath.

As controls, neutrophils were incubated with either bacterial lipopolysaccharide (LPS) or latex beads. LPS was added to approximately 3.38×10⁸ cells in 100 ml of RPMI containing 6% autologous serum to a final concentration of 1 ng/ml to 1 μg/l. Incubation proceeded for 30 or 120 minutes with gentle rotation in disposable polycarbonate Erlenmeyer flasks at 37° C. After incubation, the cells were spun down and washed once with HBSS.

Total cellular RNA was prepared from untreated and treated neutrophils are described above using the procedure of Newburger et al. (1981) J. Biol. Chem. 266(24): 16171-7 and Newburger et al. (1988) Proc. Natl. Acad. Sci. USA 85:5215-5219. Ten micrograms of total RNA, the amount obtainable from about 3×10⁶ neutrophils, is sufficient for a complete set of cDNA expression profiles.

Synthesis of cDNA was performed as previously described by Prashar et al. in WO 97/05286 and in Prashar et al. (1996) Proc. Natl. Acad. Sci. USA 93:659-663. Briefly, cDNA was synthesized according to the protocol described in the GIBCO/BRL kit for cDNA synthesis. The reaction mixture for first-strand synthesis included 6 μg of total RNA, and 200 ng of a mixture of 1-base anchored oligo(dT) primers with all three possible anchored bases (ACGTAATACGACTCACTATAGGGCGAATTGGGTCGACTTTTTTTT TTn1 wherein n1=A/C or G) along with other components for first-strand synthesis reaction except reverse transcriptase. This mixture was incubated at 65° C. for 5 m, chilled on ice and the process repeated. Alternatively, the reaction mixture may include 10 μg of total RNA, and 2 μmol of 1 of the 2-base anchored oligo(dT) primers a heel such as RP5.0 (CTCTCAAGGATCTTACCGCTT₁₈AT), or RP6.0 (TAATACCGCGCCACATAGCAT₁₈CG), or RP9.2 (CAGGGTAGACGACGCTACGCT₁₈GA) along with other components for first-strand synthesis reaction except reverse transcriptase. This mixture was then layered with mineral oil and incubated at 65° C. for 7 min followed by 50° C. for another 7 min. At this stage, 2 μl of Superscript reverse transcriptase (200 units/μl; GIBCO/BRL) was added quickly and mixed, and the reaction continued for 1 hr at 45-50° C. Second-strand synthesis was performed at 16° C. for 2 hr. At the end of the reaction, the cDNAs were precipitated with ethanol and the yield of cDNA was calculated. In our experiments, ≈200 ng of cDNA was obtained from 10 μg of total RNA.

The adapter oligonucleotide sequences were A1 (TAGCGTCCGGCGCAGCGACGGCCAG) and A2 (GATCCTGGCCGTCGGCTGTCTGTCGGCGC). One microgram of oligonucleotide A2 was first phosphorylated at the 5′ end using T4 polynucleotide kinase (PNK). After phosphorylation, PNK was heated denatured, and lug of the oligonucleotide A1 was added along with 10× annealing buffer (1 M NaCl/100 mM Tris-HCl, pH8.0/10 mM EDTA, pH8.0) in a final vol of 20 μl. This mixture was then heated at 65° C. for 10 min followed by slow cooling to room temperature for 30 min. resulting in formation of the Y adapter at a final concentration of 100 ng/μl. About 20 ng of the cDNA was digested with 4 units of Bgl II in a final vol of 10 μl for 30 min at 37° C. Two microliters (≈4 ng of digested cDNA) of this reaction mixture was then used for ligation to 100 ng (≈50-fold) of the Y-shaped adapter in a final vol of 5 μl for 16 hr at 15° C. After ligation, the reaction mixture was diluted with water to a final vol of 80 μl (adapter ligated cDNA concentration, =50 μg/μl) and heated at 65° C. for 10 min to denature T4 DNA ligase, and 2-μl aliquots (with ≈100 pg of cDNA) were used for PCR.

The following sets of primers were used for PCR amplification of the adapter ligated 3′-end cDNAs:

TGAAGCCGAGACGTCGGTCG(T)₁₈ n1, n2 (wherein n1, n2=AA, AC, AG AT CA CC CG CT GA GC GG and GT) as the 3′ primer with A1 as the 5′ primer or alternatively RP 5.0, RP 6.0, or RP 9.2 used as 3′ primers with primer A1.1 serving as the 5′ primer. To detect the PCR products on the display gel, 24 pmol of oligonucleotide A1 or A1.1 was 5′-end-labeled using 15 μl of [γ-³²P]ATP (Amersham; 3000 Ci/mmol) and PNK in a final volume of 20 μl for 30 min at 37° C. After heat denaturing PNK at 65° C. for 20 min, the labeled oligonucleotide was diluted to a final concentration of 2 μM in 80 μl with unlabeled oligonucleotide A1.1. The PCR mixture (20 μl) consisted of 2 μl (≈100 pg) of the template, 2 μl of 10×PCR buffer (100 mM Tris HCl, pH 8.3/500 mM KCl), 2 μl of 15 mM MgCl₂ to yield 1.5 mM final Mg²⁺ concentration optimum in the reaction mixture, 200 μM dNTPs, 200 nM each 5′ and 3′ PCR primers, and 1 unit of Amplitaq Gold. Primers and dNTPs were added after preheating the reaction mixture containing the rest of the components at 85° C. This “hot start” PCR was done to avoid artefactual amplification arising out of arbitrary annealing of PCR primers at lower temperature during transition from room temperature to 94° C. in the first PCR cycle. PCR consisted of 5 cycles of 94° C. for 30 sec, 55° C. for 2 min, and 72° C. for 60 sec followed by 25 cycles of 94° C. for 30 sec, 60° C. for 2 min, and 72° C. for 60 sec. A higher number of cycles resulted in smeary gel patterns. PCR products (2.5 μl) were analyzed on 6% polyacrylamide sequencing gel. For double or multiple digestion following adapter ligation, 13.2 μl of the ligated cDNA sample was digested with a secondary restriction enzyme(s) in a final vol of 20 μl. From this solution, 3 μl was used as template for PCR. This template vol of 3 μl carried ≈100 pg of the cDNA and 10 mM MgCl₂ (from the 10× enzyme buffer), which diluted to the optimum of 1.5 mM in the final PCR vol of 20 μl. Since Mg²⁺ comes from the restriction enzyme buffer, it was not included in the reaction mixture when amplifying secondarily cut cDNA. Bands were extracted from the display gels as described by Liang et al. (1995 Curr. Opin. Immunol. 7:274-280), reamplified using the 5′ and 3′ primers, and subcloned into pCR-Script with high efficiency using the PCR-Script cloning kit from Stratagene. Plasmids were sequenced by cycle sequencing on an ABI automated sequencer.

FIG. 1 presents an autoradiogram of the expression profile generated from cDNAs made from RNA isolated from control (untreated) neutrophils (lanes 1, 5, 10, 13, 14 and 16), neutrophils incubated with avirulent E. coli K12 (lanes 2 and 11), virulent Y. pestis (lane 3), avirulent Y. pestis (lane 4), Y. pestis yopB (lane 6), Y. pestis yopE (lane 7), Y. pestis yopH (lane 8), latex beads (lanes 9 and 19), virulent Entero Hemorrhagic E. coli (EHEC) (lane 12), LPS (lane 15), 1 ng/ml LPS for 30 minutes (lane 17), and LPS for 120 minutes (lane 18). The anchoring oligo d(T)18 n1, n2 has A and C at the n1 and n2 positions, respectively. The cDNAs were digested with BglII.

EXAMPLE 2

Production of Gene Expression Profiles Generated from cDNAs Made with RNA Isolated from Neutrophils Exposed to Virulent and Avirulent Bacteria and Neutrophils Exposed to Cytokines.

Neutrophils were isolated from normal donor peripheral blood following the LPS-free method as set forth in Example 1.

Neutrophils were incubated with virulent and avirulent E. coli or Y. pestis, LPS at 1 ng/ml, GM-CSF at 100 units/ml, TNFα at 1000 units/ml, or γIFN at 100 units/ml. The bacterial cells, LPS or cytokines were added to approximately 3.38×10⁸ cells in 100 ml of RPMI containing 6% H1 autologous serum. Incubation proceeded for 2 to 4 hours, preferably 2 hours, with gentle rotation in disposable polycarbonate Erlenmeyer flasks at 37° C. After incubation, the cells were spun down and washed once with HBSS.

After incubation of the neutrophils, RNA was extracted and the cDNA profiles prepared as described in Example 1. FIG. 2 is an autoradiogram of the expression profiles generated from cDNAs made with RNA isolated from control (untreated) neutrophils (lanes 1, 5, 10 and 14), neutrophils incubated with avirulent E. coli K12 (lanes 2 and 11), virulent Y pestis (lanes 3 and 12), avirulent Y. pestis (lanes 4 and 13), 1 ng/ml LPS (lanes 6 and 15), 100 units/ml GM-CSF (lanes 7 and 16), 1000 units/ml TNFα (lanes 8 and 17) and 100 units/ml γIFN (lanes 9 and 18). The anchoring oligo d(T)18n1, n2 has A and C at the n1 and n2 positions for lanes 1-9 and G and G at the n1 and n2 for lanes 10-18. The cDNAs were digested with BglII.

As exhibited by FIG. 2, the differential expression of mRNA species (as exhibited by cDNA fragments) in neutrophils exposed to virulent and avirulent E. coli and Y. pestis is not equivalent to the differential expression of mRNA species in neutrophils exposed to the various cytokines.

EXAMPLE 3

Production of Gene Expression Profiles Generated from cDNAs Made with RNA Isolated from Neutrophils Exposed to Bacteria Using all 12 Possible Anchoring Oligo d(T) n1,n2.

Neutrophils were isolated from normal donor peripheral blood following the LPS-free method.

Neutrophils were incubated with E. coli or Y. pestis.

After incubation of the neutrophils, RNA was extracted and the cDNA profiles prepared as described in Example 1. FIG. 3 is an autoradiogram of the expression profiles generated from cDNAs made with RNA isolated from control (untreated) neutrophils (lane 1), neutrophils incubated with avirulent E. coli K12 (lane 2), virulent Y. pestis (lane 3), avirulent Y. pestis (lane 4). The anchoring oligo d(T)18 n1 and n2 positions are indicated at the top of the figure. The cDNAs were digested with BglII.

FIG. 4 represents a summary of genes which are differentially expressed in neutrophils upon exposure to virulent and avirulent E. coli and Y. pestis. Expression patterns are determined by visual examination of the autoradiography gels comparing band intensity between neutrophils exposed to the various bacteria. The autoradiography gels can also be scanned using commonly available equipment, such s a UMAX D-1L scanner. Bands which exhibit altered intensities in gene expression profiles from neutrophils exposed to the various bacteria when compared to the gene expression profile prepared from normal nonexposed neutrophils are then extracted from the display gel as previously described by in Example 1. The isolated fragments are then reamplified using 5′ and 3′ primers, subcloned into pCR-Script (Stratagene) and sequenced using an ABI automated sequencer.

Tables 1 and 2 represent a summary of cDNA bands which are differentially expressed in response to exposure to E. coli. mRNA Closest Expression Sequenced Genbank Closest Clones Pattern Control 10′ 30′ 60′ 120′ n1n2 by Acc. # Homology 846 Up 0 0 +− 2+ 4+ AA Yale K02286 Urokinase Gene 847 Up +− +− +− + 2-3+ AA Yale 848 Up +− +− 0 +− 2+ AA Yale 849 Up +− +− +− +− + 1-2+ AA Yale 850 Down + 0 0 0 0 AA Yale 851 Up 0 0 0 0 + AA Yale 852 Down + + +− + 0 AA Yale 853 Up 0 0 +− +− 1-2+ AA Yale 854 Down 2+ + +− 0 0 +− AA Yale AF039715 C. elegans cosmidR0 6A10 T103 Up 3+ 3+ 3-4+ 4-5+ 4-5+ AA Yale M77693 HUMAN SSAT 855 Up +− +− +− +− 2+ AA Yale G29248 Human STS SHGC 17036 856 Up +− +− +− +− 2+ AA Yale AI038932 ox96h08.xl soares senescent Fibroblasts T104 Up + + +− + 2+ AA Yale AA931109 HUMAN CGAP KID3 T105 3-4+ 3-4+ 3-4+ 3+ 3+ AA Yale M11354 HUMAN H3.3 HISTONE 857 + + 2+ + +− AA Yale T107 Down 2-3+ 2-3+ 2-3+ 2-3+ 2+ AA Yale AA936257 on43e12 Sinel CGAP co8 858 Down 2+ 2+ 2+ 2+ + +− AA Yale 859 Up +− +− +− 2+ 1-2+ AA Yale AC004987 DJ1173120 Clone 860 Down 2-3+ 2-3+ 2+ 2+ +− AA Yale 861 Down + + 1-2+ +− +− AA Yale 862 2-3+ 2-3+ 2-3+ 2-3+ 2-3+ AA Yale 863 Down 2+ + +− + + AA Yale H26311 Cystic Fibrosis Antigen 864 Up 2+ 2+ 2+ 2-3+ 2-3+ AA Yale 865 Up + + 2+ 2-3+ 2+ AA Yale 866 Up +− +− + + 2+ AA Yale G06511 Human STS WI- 7311 867 Down 2+ 2+ 2+ 2+ 1-2+ AA Yale 868 +− +− + 2+ +− AA Yale 869 Up + +− +− +− 2+ AC Yale 870 Up 0 0 0 +− 1-2+ AC Yale 871 Down 1-2+ 1-2+ 1-2+ + +− AC Yale AI026899 ov42do7.xl Soares testis nht 872 + + +− + + AC Yale AA916304 on22do4.si NCI CGAP Lu5 873 Up +−_+ +−_+ +−_+ +−_+ 2+ AC Yale 874 Up 1-2+ 1-2+ 1-2+ + 3+ AC Yale AI012139 EST 206590 (Rat Placenta) 875 Up 1-2+ 1-2+ + + 2-3+ AC Yale 876 Down + 1-2+ 2+ + +−_0 AC Yale AI031728 ow39a05. xl Soares parathyroid tumor NGHPA 877 Down 2-3+ 2+ 2+ + +− AC Yale 878 Down 2-3+ 2-3+ 2+ 1-2+ 0_+− AC Yale AB002384 human mRNA for KIAA0386 gene 879 + +− 0 0 + AC Yale 880 Down 1-2+ +− +− +− 0 AC Yale AI016473 Transciption Factor BTF3 881 Down + + 1-2+ + +− AC Yale U82275 Human immunoglobulin- like transcipt 882 Up 2+ 2+ 3+ 3-4+ 4+ AC Yale AI016664 Diamineacetyl Transferase 883 Down 1-2+ + + + +− AC Yale AA909168 SI Soares NFLT GBC.SI 884 Down + +− 0 0 0 AC Yale AI039973 ox88e09.si Soares senescent fibroblasts 885 Up 2+ 1-2+ 1-2+ 2+ 2-3+ AC Yale AI026998 ow41d06. si Soares parathyroid tumor NB4PA 886 0 +− +−_+ +− 0 AC Yale 887 Up +− 0 0 +− + AC Yale 888 Up 0 0 0 +− + AC Yale T7 Down 2+ 1-2+ 1-2+ + +− AC Yale 889 Up +− 0 +− +− 1-2+ AC Yale T8 Down 2-3+ 2+ 2+ 2+ 1-2+ AC Yale G06680 HUMAN STS 890 Up 2+ 2+ 1-2+ + +− AC Yale 891 Down + + +− 0 0 AC Yale T76 Down 2-3+ 2+ 2+ 1-2+ +− AC Yale S73591 HUMAN H HCPA78 HOMOLOG 892 Down 3+ 3+ 3+ 2+ +− AC Yale 893 2+ + 1-2+ 2+ 2+ AC Yale T98 Down 2-3+ 2-3+ 2-3+ 2-3+ +_+− AC Yale G06788 HUMAN STS 894 Down 2+ 1-2+ 1-2+ 1-2+ + AC Yale AF039656 Neuronal tissue- enrichedacidic protein 895 Down 2-3+ 2-3+ 2-3+ 2+ +− AC Yale AI016303 ot72d07.si soares total Fetus Nb3hf8 896 Down 2+ 2+ 1-2+ +− 0 AC Yale AC004987 DJ 1173I2O clone T81 Up 0 0 0 0 3+ AC Yale AA926999 om26do7 si Soares NFLTG3c 1s1 T82 Up + + + +− 2-3+ AC Yale AA926999 om26do7. SI NFL TG3cSi T83 Down 2+ 2+ 1-2+ 1-2+ 1-2+ AC Yale T84 2-3+ 2+ 2-3+ 3+ 2-3+ AC Yale T85 Down + +− +−_0 +−_0 0 AC Yale O89052 HUMAN PROTONATPASE 897 Down 2+ 1-2+ 1-2+ + +_+− AC Yale 898 2+ 2+ 2+ 2+ 2+ AC Yale 899 Up 0 0 +− + 3+ AC Yale 900 Down 1-2+ 1-2+ +− 1-2+ 0 AC Yale 901 Up 1-2+ + 1-2+ 2+ 2-3+ AC Yale 902 Down 2+ + 1-2+ 1-2+ + AC Yale 903 Down 2+ 2+ 3+ 3-4+ +− AC Yale 904 + + +− +− + AC Yale 905 Up 0 +− 0 + 3-4+ AG Yale KO2286 Human urokinase gene 3′ end 906 Up 0 0 +− +− 1-2+ AG Yale T111 +−_+ 2+ +− +− +− AG Yale 907 +− + + 2+ +− AG Yale 908 Down 2+ 2+ 1-2+ 2+ +− AG Yale 909 +− +− + 2+ +−_0 AG Yale 910 Down + 1-2+ 0 +− +− AG Yale AC002091 Genomic Sequence Human 17, complete sequence 911 Down 2+ 2+ 2+ + − AG Yale T113 Down 2+ 2-3+ 2+ 2+ 1-2+ AG Yale AI039523 ox371002. si Soares total fetus NB22HF8 912 Down +− +− +− − − AG Yale 913 Down 3+ 3+ 2-3+ 2-3+ 2+ AG Yale 914 Up − +− − − + AG Yale 915 Up + 1-2+ + 1-2+ 2+ AG Yale AI038932 ox96ho8. xi Soares senescent fibroblasts T115 2+ 2+ 2+ 2+ 2+ AG Yale 916 Up + + + + 2+ AG Yale AC005038 Homo sapiens clone NH 048666122 HTGS phase 1 917 Down +− +− − − − AG Yale 918 Down + + + + +− AG Yale 919 + + − + + AG Yale 920 Down + 2+ + +− +− AG Yale T116 Down 3-4+ 3-4+ 3+ 3+ 3+ AG Yale M11353 H Histone H3.3 (human) T117 Up + + + 2+ 2+ AG Yale 921 Up 1-2+ 2+ + 1-2+ 2-3+ AG Yale AA912471 NCI CGAP GC4 Homo Sapiens 922 Down 1-2+ 2+ + 1-2+ 0-+-? AG Yale 923 Down +− +− − +− − AG Yale 924 Up 0 0 0 +− 2+ AG Yale 925 Down +− + 0 0 0 AG Yale 926 Down 1-2+ 1-2+ + +−_+ 2+ AG Yale 927 Up + ?+ ?+ 2+ 2+ AG Yale AA917380 0180a04.si NCI CGAP KIDS 928 Up 0 0 0 0 2+ AG Yale AA926999 Homo Soares NFL TGBC si 929 Down + − + + − AG Yale 930 Up 0 0 0 +− 2+ AG Yale CH29R28 AD000864 051 Homo Sapiens DNA from chromosome 19 cosmid R28051 931 Down 2+ 2+ 1-2+ 1-2+ + AG Yale 932 Up + + + + 2+ AG Yale 933 Down 4+ 4+ 3+ 3+ 3+ AG Yale m81637 Human grancalan mRNA 934 − − +− + +− AG Yale 935 Down +− + + + − AG Yale 936 + +− +− + + AG Yale 937 Up +− +− +− +− + AG Yale 938 Up +− +− +− + 2+ AT Yale 939 Up 0 0 +− +− 2+ AT Yale AA916304 NCI CGAP LU5 HOMO SAPIENS 940 + + 2+ 2-3+ + AT Yale 941 Up + + + + 2-3+ AT Yale 942 Up + + +− 0 1-2+ AT Yale 943 Down +− +− +− + − AT Yale 944 Down 2+ + + +− 0 AT Yale 945 Up + +−_+ +−_+ +−_+ 2+ AT Yale AA928171 ON86HO3 SOARES NFL TGBC SI 946 Down + + + − − AT Yale 947 0 0 + 2+ 0 AT Yale 948 Down + + + +− − AT Yale 949 Up 0 0 0 0 1-2+ AT Yale AI038932 HOMO SAPIENS SOARES SENESCENT FIBROBLASTS 950 Down 2-3+ 2-3+ 2-3+ 2-3+ +? AT Yale 951 Up +− +− +− +− + AT Yale 952 Up 0 0 0 +− 1-2+ AT Yale ACC004551 HOMO SAPIENS HTGS PHASE 1 953 Down 1-2+ + 1-2+ +− 0 AT Yale 954 Up + + + 1-2+ 2-3+ AT Yale AI026998 HOMO SPAIENS SOARES PARATHYROID TUMOR 955 Down + + + + 0 AT Yale 956 Up +− +− +− +− + AT Yale 957 Down 2+ 2+ 2+ 2+ + AT Yale 958 Up + + + +−_+ 2+ AT Yale T123 Up +− +− + 2+ 3+ AT Yale HSO27467 HUMAN BCL-2 RELATED (BF1-1) MRNA 959 + +_+− 2+ + + AT Yale 960 Down 2+ + + + +− AT Yale 961 0 +− 2+ +−_0 +−_0 AT Yale 962 Up 0 0 0 0 2+ AT Yale T124 Up 3+ 3+ 3+ 3-4+ 3-4+ AT Yale 963 Down 2+ 2+ 2+ 2+ + AT GLI 964 +− 1-2+ + + +− AT GLI 965 Up 0 0 +− 2+ 1-2+ AT GLI 966 Down + + + 1-2+ +− AT GLI 967 Down 3+ 3+ 3+ 3+ +− AT GLI M60830 Human gene EVI2B#P 968 Down + + 2+ 1-2+ +− AT GLI 969 Up 0 0 0 +− 2+ AT GLI 970 0 0 0 2+ 0 AT GLI 971 Down + + 2+ 1-2+ +− AT GLI 972 Down + + + + − AT GLI 973 Up − − − − + AT GLI 974 Up + + 2+ 3+ 2+ CA Yale 975 + +− 1-2+ 2+ ? CA Yale GBM77693 HUMAN DIAMINE ACETYLTRANSFERASE 976 1-2+ 1-2+ 2-3+ 3+ ? CA Yale Z14136 HOMO SAPIENS GENE SPERMIDINE/ SPERMINE N1- ACETYLTRANSFERASE T132 CA T133 CA 977 Up + + 1-2+ 2-3+ 1-2+ CA Yale T135 CA 978 Down 2+ 2+ 2+ 2+ − CA GLI G05563 Human STS WI- 7246 979 Down + + + + − CA GLI 980 − − − + − CA GLI 981 Down + + + + − CA GLI 473168 Human cosmid LUCA22 982 − − − + − CA GLI M55542 Human granulyte binding M55542 protein Isoform I 983 − − − + − CA GLI 984 2+ 2+ 3+ 3-4+ 2+ CC Yale HS167A14 Z94721 HUMAN DNA SEQ- PAC167A14 CHROM6927 T139 Up + +− + − 2+ CC GLI 985 Down + + + 2+ +− CC Yale T140 Up + + + + 2+ CC GLI 986 Down 2+ 2+ 1-2+ 1-2+ +− CC Yale AI015836 0V51H11. SI SOARES TESTIS NHT HOMO SAPIENS 987 2-3+ 2+ 2+ 3-4+ 3+ CC Yale

TABLE 2 Cln Sequence+HZ,1/32 846 1 TCTCAGTGAG GTGAGATCAC ACCACTGCAC TCCAACTGGG CGACAGAGCA 51 AG 854 1 CACTTTCCCC AAATTCTTTT GCCATAGTTC ACTCTCTACT GATAAGGCCA 51 C 855 1 GGGAAAGTGG TGGGGTGGTG AGGGTCAATG TGCAGAAAAT CGATGTAACT 51 TGTAATACAG TTGAGTCAAC TGTGTGTTCA CAACAACTCT GAGAGTTAAC 101 ACCATTTCTA C 856 1 ATCTAAATAT TTTTCATACC GAGTTATTAA GGAGTCAGTA GTCTGTGCTA 51 CAATGCTGCA AAAAGCATCA CGTGGAAGAA TGGGAACTAT GCGTACTTTA 101 TGAAGTGATG TATAACACAA TGAACTCTGT TTTACAACTA CAGTGCTGCA 151 TTCAATTATC TTCCAT 859 1 AAGCTCTGTA TACAAAAGTT ATTTATTTAG ATGTTCGAGG CATGTCTCTC 51 CTCACCTGTA AACTAACTGT TTTATAACAG CTTGTATCAC ATGTGTGAAG 101 TTAATGAATG TAATACTCCA ACAAGCCATT CATCAGATTG GCCAACAGCT 151 AGGATACAGT TAAATAATGG CGACCAGGTT GACAAGTCAT AATTGCGGTT 201 TGGGGGACCG TAGTTGCACC TCACCTAGAC CAACGTACGC ATGGCACTCG 251 ACCCAGGCGA ACAAAATTAA T 863 1 TTTCTCAAGA AGAGATAAGA ATGAAAAGTC ATAGAACACA TCATGGAGGA 51 CCTGGACACA AATGCAGACA AGCAGCTGAG CTTCGAGGAG TTCATCATGC 101 TGATGGCGAG GCTAACCTGG GCCTCCCACG AGAAGATGCA CGAGGGTGAC 151 GATGGCCCTG GCCACCACCA TAAGCCAGGC CTCGGGGAGG GCACCCCCTA 201 AGACCACAGT GGACAAGATC ACAGTGGCCA CGGACACGGC CACAGTCATG 251 GTGGCCACGG CCACAGCCAC TAATCAGGAG GCCAGGCCAC CCTGCCTCTA 301 CCCAACCAGG GCCCCGGGGC CTGTTATGTC AAACTGTCTT GGCTGTGGGG 866 1 NGATCTTTCT AGGAGGGAGA CACTGGCCNC TCAAATCGTC CAGCGACCTT 51 CCTCATCCAC CCCATCCCTC CCCAGTTCAT TGCACTTTGA TTAGCAGCGG 101 AACAAGGAGT CAGACATTTT AAGATGGTGG CAGTAGAGGC TATGGACAGG 151 GCATGCCACG TGGGCTCATA TGGGGCTGGG AGTAGTTGTC TTTCCTGGCA 201 CTAACGTTGA GCCCCTGGAG GCACTGAAGT GCTTAGTGTA CTTGGAGTAT 251 TGGGGTCTGA CCCCAAACAC CTTCCAGCTC CTGTAACATA CTGGCCTGGA 301 CTGTTTTCTC TCGGCTCCCC ATGTGTCCTG GTTCCCGTTT CTCCACCTAG 351 ACTGTGAACC TCTCGAGGGC AGGGACCACA CCCTGTACTG TTCTGTGTCT 401 TTCACAGCTC CTCCCACAAT GCTGAATATA CAGCAGGTGC TCAATAAATG 451 ATTCT 871 1 GCAAGTGTGT TGTGTTACAG TGTCACAACA CCGAG 872 1 GATCTCTCCC TACGCAAAAC GTATTGTAGT GAAAGGGTCT TCTTTACTAC 51 CTTAATAAAA CAGCTAGTGT G 874 1 GATCTAAATA CAAAGGATAT ACAGTCTTGA ATCTAAAATA ATTTGCTAAC 51 TATTTTGATT CTTCAGAGAG AACTACTA 876 1 GATCTAGTCC GGACATGCTG TGTATATTGT AACGTTAAAT GAAAAAAGAA 51 CCCCCCTTTG TATTATAGTC ATGCGGTCTT ATGTATGATA AACAGTTG 878 1 GATCTTTTGT AGTCACCTCT GTATCTTATG TCTGGTTGAG GGGTGCTTTT 51 ACTTGTCTGG CATTTGCATT CAATGATCTT TCAGTCATGT CAGTTAGACT 101 AAAAATTATT TCTG 880 1 CCCAAGCCCC TTGGACACTG CAGCTCTTTT CAGTTTTTGC TTACACACAA 51 TTCATTCTTT GCAGCTAATT AAGCCGAAGA AGCGTGGGAA TCAAGTTTGG 101 AACAGAGATT AAAAAAGTTC TT 881 1 GCTCTGGAGG ACAATCCAGG AACTACATTA CCTGGACTGT ATGCTGGTCA 51 TTTCTACAGA CAGCATTCAG TATTTGAGTG TACGGTAACT GTCTGGGGTG 101 ATTCCTATAA GATCATTATA CTG 882 1 GATCTTTCTC CTTGAATATC TTTCGATAAA CAACAAGGTG GTGTGATCTT 51 AATATATTTG AAAAAAACTT CATTCTCGTG AGTCATTTAA ATGTGTACAA 101 TGTACACACT GGTACTTAGA GTTTCTGTTT GATTCTTTTT TAATAAACTA 151 C 883 1 TGTCACTCAT GCCCTGGGAC TGCTTCTCCA GCCAGGCGGG CGCCATACGT 51 CCCACACTAG TGAAGGTCAA TGTCTCAGAA CAACACCTCT AT 884 1 GATCTGGCCT GTTCCTGCGT CTGCGGAGCA GGCCTTGTCT CCCAGCTATC 51 TATAACCTTA CCTAGAGTGT CGACTTGTGG GTTCCTGTTG CTGAGACTTC 101 CTGGATGGAG CCGCCCTCAC CGCCGGACCC GTAGCACTGC GCGGAACTGT 151 GTCCAATAAA GT 885 1 GATCTGATTT GCTAGTTCTT CCTTGTAGAG TTATAAATGG AAAGATTACA 51 CTATCTGATT AATAGTTTCT TCATACTCTG CATATAATTT GTGGCTGCAG 101 AATATTGTAA TTTGTTGCAC ACTATGTAAC AAAACAACTG AAGATATGTT 151 TAATAAATAT TGTACT 894 1 GATCTTTATG AGAGCAGTAT TTTCTGTGTT TTCTTTTTAA TTTACAGCCT 51 TTCTTATTTT GATATTTTTT TAATGTTGTG GATGAATGCC AGCTTTCAGA 101 CAGAGCCCAC TTAGCTTGTC CACATGGATC TCAATGCCAA TCCTCCATTC 151 TTCCTCTCCA GATATTTTTG GGAGTGACAA ACATTCTCTC ATCCTACTTA 201 GCCTACCTAG ATTTCTCATG ACGAGTTAAT GCATGTCCGT GGTTGGGTGC 251 ACCTGTAGTT CTGTTTATTG GTCA 895 1 GATCTAAGTT AGTCCAAAAG CTAAATGATT TAAAGTCAAG TTGTAATGCT 51 AGGCATAAGC ACTCTATAAT ACATTAAATT ATAGGCCGAG CAATTAGGGA 101 ATGTTTCTGA AACATTAAAC TTGTATTTAT GTCACTAAAA TTCTAACACA 151 AACTTAAAAA ATGTGTCTCA TACATATGCT GTACTAGGCT TCATCATGCA 201 TTTCTAAATT TGTGTATGAT TTGAATATAT GAAAGAATTT ATACACGAGT 251 GTTATTTAAA ATTATTAAAA ATAAATGTA 896 1 GATCTTATAG GCCTGTCTCA TCAGGTTGGT GTCAGCCCAG CTAGGATTAG 51 GCAGAATTGG GTGGGGGCTG TAGTGCACTT TTGGCACAGC ATGTACCTGT 101 CTGACTAATT CTCTGTCTTT TCTTTCCTGT TGCAATTCAT GGGTCTTAGC 151 ATCTTCTGAA TGGTGTTTAG TAGGTCATCC TGTTGATTTC CTGCTAGGGA 201 GTAGCATACT CTGGCTCTGT ACCACTGGCC AAGGGACTTA AGGATAGATG 251 AAGGGCTGCA GTTTTGTTAA ATGGAACAAT ATGAAGAGA T10 1 GATCTTTCTC CTTGAGTATC TTTCGATAAA CAACAAAGTG 3 GTGTGATCTT 51 AATATATTTG AAAAAAACTT CATTCTCGTG AGTCATTTAA ATGTGTACAA 101 TGTACACACT GGTACTTAGA GTTTCTGTTT GATTCTTTTT TAATAAACTA 151 C T10 1 GATCTCTGCT CATAGAATGC ATGGGGAGCC TTCCAGCTCA 4 CTCTCCCTGA 51 GGACTGGCTT GACAGGGGCT ATGGGTTTGC TTTGG T10 1 GATCTGCGCT TCCAGAGCGC AGCTATCGGT GCTTTGCAGG 5 AGGCAAGTGA 51 GGCCTATCTG GTTGGCCTTT TTGAAGACAC CAACCTGTGT GCTATCCATG 101 CCAAACGTGT AACAATTATG CCAAAAGACA TCCAGCTAGC ACGCCGCATA 151 CGTGGAGAAC GTGCTTAAGA ATCCACTATG ATGGGAAACA T10 1 GATCTAAATG TGAACAGTTT ACTAATGCAC TACTGAAGTT 7 TAAATCTGTG 51 GCACAATCAA TGTAAGCATG GGGTTTGTTT CTCTAAATTG ATTTGTAATC 101 TGAAATTACT GAACAACTCC TATTCCCATT TTTGCTAAAC TCAATTTCTG 151 GTTTTGGTAT ATATCCATTC CAGCTTAATG CCTCTAATTT TAATGCCAAC 201 AAAATTGGTT GTAATCAAAT TTTAAAATAA TAATAATTTG GC T76 1 GCCTTTTCGA TAGTTTCGGG TCAGGTAAAA ATGGCCTCCT GGCGTAAGCT 51 TTTCAAGGTT TTTTGGAGGC TTTTTGTAAA TTGTGATAGG AACTTTGGAC 101 CTTGAACTTA CGTATCATGT GGAGAAGAGC CAATTTAACA AACTAGGAAG 151 ATGAAAAGGG AAATTGTGGC CAAAACTTTG GGAAAAGGAG GTTCTTAAAA 201 TCAGTGTTTC CCCTTT T8 1 GATCTATGCA CAAGAACCCC TTTACCCCAT GACCAACATC GCAGACACAT 51 GTGCTGGCCA CCTGCTGAGC CCCAAGTGGA ACGAGACAAG CAGCCCTTAG 101 CCCTTCCCCT CTGCAGCTTC CAGGCTGGCG TGCAGCATCA GCATCCCTAG 151 AAAGCCATGT GCAGCCACCA GTCCATTGGG CAGGCAGATG TTCCTAATAA 201 AGCT T81 1 GATCTTTCCT CCTGGTTACT GTGAAGCCTG TTGGTTTGCT GCTGTCGTTT 51 TTGAGGAGGG CCCATGGGGG TAGGAGCAGT TGAACCTGGG AACAAACCTC 101 ACTTGAGCTG TGCCTAGACA ATGTGAATTC CTGTGTTGCT AACAGAAGTG 151 GCCTGTAAGC TCCTGTGCTC CGGAGGGAAG CATTTCCTGG TAGGCTTTGA 201 TTTTTCTGTG TGTTAAAGAA ATTCAATCTA CTCATGATGT GTTATGCATA 251 AAACATTTCT GGAACATGGA TTTGTGTTCA CCTTAAATGT GAAAATAAAT 301 CCTA T82 1 ATCTTTCCTC CTGGTTACTG TGAAGCCTGT TGGTTTGCTG CTGTCGTTTT 51 TGAGGAGGGC CCATGGGGGT AGGAGCAGTT GAACCTGGGA ACAAACCTCA 101 CTTGAGCTGT GCCTAGACAA TGTGAATTCC TGTGTTGCTA ACAGAAGTGG 151 CCTGTAAGCT CCTGTGCTCC GGAGGGAAGC ATTTCCTGGT AGGCTTTGAT 201 TTTTCTGTGT GTTAAAGAAA TTCAATCTAC TCATGATGTG TTATGCATAA 251 AACATTTCTG GAACATGGAT TTGTGTTCAC CTTAAATGTG AAAATAAATC 301 CTATTTTCTA TG T85 1 GATCTTTGGC AGCGCCATTG GACTCTTTGG GGTCATCGTC GCAATTCTTC 51 ATACCTCCAG AGTGAAGATG GGTGACTAGA TGATATGTGT GGGTGGGGCC 101 GTGCCTCACT TTTATTTATT GCTGGTTTTC CTGGGACAGC TGGAGCTGTG 151 TCCCTTAACC TTTCAGAGGC TTGGTGTTCA GGGCCCTCCC TGCACTCCCC 201 TCTTGCTGCG TGTTGATTTG GAGGCACTGC AGTCCAGGCC GAGTCCTCAG 251 TGCGGGGAGC AGGCTGCTGC TGCTGACTCT GTGCAGCTGC GCACCTGTGT 301 CCCCCACCTC CACCCTCAAC CCATCTTCCT AGTGTTTGTG AAATAAACTT 351 GGTAT T98 1 GATCTTCCAC GTCTCCATCT CAGTACACAA TCATTTAATA TTTCCCTGTC 51 TTACCCCTAT TCAAGCAACT AGAGGCCAGA AAATGGGCAA ATTATCACTA 101 ACAGGTCTTT GACTCAGGTT CCAGTAGTTC ATTCTAATGC CTAGATTCTT 151 TTGTGGTTGT TGCTGGCCCA ATGAGTCCCT AGTCACATCC CCTGCCAGAG 201 GGAGTTCTTC TTTTGTGAGA GACACTGTAA ACGACACAAG AGAACAAGAA 251 TAAAA 933 1 TTATATATTT TTCTTAAATA TGTTTTATTG TCTTCTCTAA GCAAAAAGTT 51 CTTAATAAAC ATAGTATTTC TCTCTGCGTC CTATTTCATT AGTGAAGACA 101 TAGTTCACCT AAAATGGCAT CCTGCTCTGA ATCTAGACTT TTTAGAAATG 151 GCATATGTTT TTGATGATAT GTCAACATTC AAAATAGTCC TAATTAAATT 201 GTTGGTTAAA TGTAATGTCA ACTCTTTATA AACTTAAATA TAAACAAGTA 251 ATTAACCACT CTAAGTAATA AAACACATTT CACCTGTGTT CTGAGTGTA 967 1 ATGAATCCTT GCCACCTCCA CCTGCAGAAC TGTTATAAAT ATTACAACTT 51 GCTTTTTAGC TGATCTTCCA TCCTCAAATG ACTCTTTTTT CTTTATATGT 101 TAACATATAT AAAATGGCAA CTGATAGTCA ATTTTGATTT TTATTCAGGA 151 ACTATCTGAA ATCTGCTCAG AGCCTATGTG CATAGATGAA ACTTTTTTTT 201 AAAAAAAGTT ATTTAACAGT AATCTATTTA CTAATTATAG TACCTATCTT 251 TAAAGTATAG TACATTTTAC ATATGTAAAT GGTATGTTTC AATAATTTAA 301 GAACTCTGAA ACAATCTACA TATACTTATT ACCCAGTACA GTTTTTTTTC 351 CCCTGAAAAG CTGTGTATAA AATTATGGTG AATAAACTTT TATGTTTCCA 401 TTTCAAAGAC CAGGGTGGAG AGGAATAAGA GACTAAGTAT ATGCTTCAAG 451 TTTTAAATTA ATACCTCAGG TATTAAAATA AATATTCCAA GTTTGTGGGA 501 AATGGGGAGA TTAAAATG 978 1 TTATGTGGCC TTAGGTAGCT GGTTGTACAT CTTTCCCTAA ATCGATCCAT 51 GTTACCACAT AGTAGTTTTA GTTTAGGATT CAGTAACAGT GAAGTGTTTA 101 CTATGTGCAA CGGTATTGAA GTTCTTATGA CCACAGATCA TCAGTACTGT 151 TGTCTCATGT AATGCTAAAA CTGAAATGGT CCGTGTTTGC ATTGTTAAAA 201 ATGATGTGTG AAATAGAATG AGTGCTATGG TGTTGAAAAC TGCAGTGTCC 251 GTTATGAGTG CCAAAAATCT GTCTTGAAGG CAGCTACACT TTGAAGTGGT 301 CTTTGAATAC TTTTAATAAA TTTATTTTGA TA 981 1 TAGGTGAACC CTTATTCTGC AGGGTTCTCC CTCCCACCTT AAAGAAGTTC 51 CCCTTATGTG GGTTGCCTGG TGAATGGCCT TCCTTCCCGC CAGAGGGCTT 101 GTGAACAGAC CGGAGAGGAC AGTGGATTGT TTATACTCCA GTGTACATAG 151 TGTAATGTAG CGTGTTTACA TGTGTAGCCT ATGTTGTGGT CCATCAGCCC 201 CTCACATTCC TAGGGGTTTG AGATGCTGTA CGTGGTATGT GACACCAAAG 251 CCACCTCTGT CATTTGTTGT GATGTCTTTT CTTGGCAAAA GCCTTGTGTA 301 TATTTGTATA TTACACATTT GTACAGAATT TTGGAAGATT TTCAGTCTAG 351 TTGCCAAATC TGGCTCCTTT ACAAAAG 982 1 AGAATCTCTT ATGTTCTCAG AGGAAGGTGG AAGAAACCAT GGGCAGGAGT 51 AGGAATTGAG TGATAAACAA TTGGGCTAAT GAAGAAAACT TCTCTTATTG 101 TTCAGTTCAT CCAGATTATA ACTTCAATGG GACACTTTAG ACCATTAGAC 151 AATTGACACT GGATTAAACA AATTCACATA ATGCCAAATA CACAATGTAT 201 TTATAGCAAC GTATAATTTG CAAAGATGGA CTTTAAAAGA TGCTGTGTAA 251 CTAAACTGAA ATAATTCAAT TACTTATTAT TTAGAATGTT AAAGCTTATG 301 ATAGTCTTTT CTAATTCTTA ACACTCATAC TTGAAATCTT TCTGAGTTTC 351 CCCAGAAGAG AATATGGGAT TTTTTTTGAC ATTTTTGACT CATTTAATAA 401 TGCTCTTGTG TTTACCTAGT ATATGTAGAC TTTGTCTTAT GTGTCAAAAG 451 TCCTAGGAAA GTGGTTGATG TTTCTTATAG CAATTAAAAA TTATT 905 1 ATCTCAGTGA GCTGAGATCA CACCACTGCA CTCCAACTGG GCGACAGAGC 51 AAGA 910 1 GATCTGTAAT TCAGGTGTTT TCTGTACAGC CATACGTAGA TAATGAAGCC 51 AAAAGGCTTT TAATTACACC ATGGCCTAAA ATAAATTCAT CA 915 1 TATTTTTCAG CTGAGTTATT AGGGAGTCAT TATTCTGTGG TACAATGCTG 51 CAAAAAGCAT CATGTGGAAG AATGGGAACT ATGCTTACAT TATGAAGTGA 101 TGTATAACAC AATGCAAATC TG 916 1 GATCTTTTTT CATTAAAAAA TGTTCAATTA TCAGGCCGGG TGCAGTGGGG 51 CTCATGCCTG TAATCCCAAC ACTTTGGGAG GCCGATGCAG GCGGATCACT 101 AGGTCAGCAG ATCGAGACCA TCCTGGCTAA CACAGTGAAA CCT 921 1 GATCTTTATT TTTAGCCATG CACTGTTGTG AGGAAAATTA CCTGTCTTGA 51 CTGCCATGTG TTCATCATCT TAAGTATTGT AAGCTGCTAT GTATGGATTT 101 AAACCGTAAT CATATCTTTT TCCTATCTAT CTGAGGCACT GGTGGAATAA 151 AGAACCTGTA TATTTTACTT TGTTGCAGAT AGTCTTGCCG CATCTTGGCA 201 AGTTGCAGAG A 927 1 GATCTTCGTG AAGACCTGAC TGGTAAGACC ATCACCCTCG AGGTGGAGCC 51 CAGTGACACC ATCGAGAATG TCAAGGCAAA GATCCAAGAT AAGGAAGGCA 101 TCCCTCCTGA TCAGCAGAGG TTGATCTTTG CTGGGAAACA GCTGGAAGAT 151 GGACGCACCC TGTCTGACTA CAACATCCAG AAAGAGTCCA CTCTGCACTT 201 GGTCCTGCGC TTGAGGGGGG GTGTCTAAGT TTCCCCTTTT AAGGTTTCAA 251 CAAATTTCAT TGCACTTTCC TTTCAATAAA GTTG 928 1 GATCTTTCCT CCTGGTTACT GTGAAGCCTG TTGGTTTGCT GCTGTCGTTT 51 TTGAGGAGGG CCCATGGGGG TAGGAGCAGT TGAACCTGGG AACAAACCTC 101 ACTTGAGCTG TGCCTAGACA ATGTGAATTC CTGTGTTGCT AACAGAAGTG 151 GCCTGTAAGC TCCTGTGCTC CGGAGGGAAG CATTTCCTGG TAGGCTTTGA 201 TTTTTCTGTG TGTTAAAGAA ATTCAATCTA CTCATGATGT GTTATGCATA 251 AAACATTTCT GGAACATGGA TTTGTGTTCA CCTTAAATGT GAAAATAAAT 930 1 GATCTTTCGG GTTCTCTCTC CTAACTCAGC TCTTCGTTCC CAGAAACCCA 51 GATGTAATCC CCCTACGTGG TGCTTGGGGC ATCCCGATAC CATCTCAGTA 101 AATCTCCTAC ATTGGCCTCC TCACCCTCCC CGGGACCCAC ACCCTTCAGG 151 TCCTCACCCT GAGACAGGAG GGACCCTCTG AGATCAGGGA CCCTTAGGTC 201 TCACTGGTCT CTGATTCATA GCTCAACTGG GCCCCCAGTT CCATACCCCA 251 GCATTCCCGG TCACTCCCTC CCTAATCTGA GCATCACTCA AGCTCTTTAT 301 TAAACTC 939 1 ATCTCTCTCC CTACGCAAAA CCCTATTGTA GTAAAAAAGT CTTCTTTACT 51 ATCTTAATAA AACAGATATT GTG 945 1 ATCTATTCTT GTAGATTTTT TTTGTGTGGG TCTATGTTTC ATTCATCTGC 51 TTTCAGGCTG GATTTATAAC AAGCAGAACT TTTAAAACG 949 1 GATCTAAATA TTTTTCAGCT GAGTTATTAC GGAGTCATTA TTCTGTGGTA 51 CAATGCTGCA AAAAGCATCA TGTGGAAGAA TGGGAACTAT GCTTACTTTA 101 TGAAGTGATG TATAACACAA TGAAA 952 1 CTACCCCGTG ACTCAGTTAC CTCCCACTGG GTCCCTCCCA CATCATGTGG 51 GAATTGTAGG AGCTACAATT CAAGATGAGA TTTGGATGGG GTCACAGCCA 101 AACCATATCA CTGAGGTATC AAGGAGATTC TT 954 1 GATCTGATTT GCTAGTTCTT CCTTGTAGAG TTATAAATGG AAAGATTACA 51 CTATCTGATT AATAGTTTCT TCATACTCTG CATATAATTT GTGGCTGCAG 101 AATATTGTAA TTTGTTGCAC ACTATGTAAC AAAACAACTG AAGATATGTT 151 TAATAAATAT TGTACTTATT G 975 1 NGATCTTTCT CCTTGAATAT CTTTCGATAA ACAACAAGGT GGTGTGATCT 51 TAATATATTT GAAAAAAACT TCATTCTCGT GAGTCATTTA AATGTGTACA 101 ATGTACACAC TGGTACTTAG AGTTTCTGTT TGATTCTTTT TTAATAAA 976 1 GATCTGCTAG AAGATGGTTT TGGAGAGCAC CCCTTTTACC ACTGCCTGGT 51 TGCAGAAGTG CCGAAAGAGC ACTGGACTCC GGAAGGTAAC CCCTCGCCCT 101 TTCCAGAAGC CAGAGAGACC AAGTGTTATG TAAGAAGTAG TGTCGGCTGT 151 GTAGAACCAC TGACTACACA GGCCGAAGTT ACTGAGAACT TGGACAGAAA 201 AAATAGCCAG CAAGTGTT 984 1 CATTCACACA TTTAACCTCC TTCCATACCA AATCTT 986 1 GATCTGGACA GCAGAATGTT ATAACGCAAG TTCATGTGTT GCTCCCAACT 51 CCATTCTCTT TTCTCTCGTG CAACCAGTTT GCCCATTCTC TTCCTATTAC 101 TTGCTC T11 1 TCAGAGATTT GCAAAGACTC ACGTTTTTGT TGTTTTCTCA 3 TCATTCCATT 51 GTGATACTAA GAAACTAAGA AGCTTAATGA AAAGAAATAA AATGCCTATG T11 1 GATCTGCGCT TCCAGAGCGC AGCTATCGGT GCTTTGCAGG 6 AGGCAAGTGA 51 GGCCTATCTG GTTGGCCTTT TTGAAGACAC CAACCTGTGT GCTATCCATG 101 CCAAACGTGT AACAATTATG CCAAAAGACA TCCAGCTAGC ACGCCGCATA 151 CGTGGAGAAC GTGCTTAAGA ATCCACTATG ATGGGAAACA T12 1 GATCTGTGAA ATGCTATCTC TCCTGAAGCA ATACTGTTGA 3 CCAGAAAGGA 51 CACTCCATAT TGTGAAACCG GCCTAATATT TCTGACTGAT ATGGAAACGA 101 TTGCCAACAC ATACTTCTAC TTTTAAATAA ACAACTTTGA TGATGTAACT 151 TGACCTTCCA GAGTTATGGA AATTTTGTCC CCATGTAATG AATAAATTGT 201 ATGTAT

EXAMPLE 4

Production of Expression Profiles Generated from cDNAs Made with RNA Isolated from Neutrophils Isolated from a Subject with a Sterile Inflammatory Disease.

Neutrophils are isolated from normal donor peripheral blood following the LPS-free method or from subjects exhibiting the symptoms of a sterile inflammatory disease. RNA is extracted and the gene expression profiles prepared as described in Example 1.

To determine the identity of genes (cDNAs) which are differentially expressed in the neutrophils isolated from a subject exhibiting the symptoms of a sterile inflammatory disease, the cDNA profiles prepared from neutrophils from said subject are compared to profiles prepared from neutrophils isolated from the normal donor. Bands which exhibit altered intensities when compared between the gene expression profiles prepared from neutrophils from said subject and profiles prepared from neutrophils isolated from the normal donor are then extracted from the display gel as previously described in Example 1. The isolated fragments are then reamplified using 5′ and 3′ primers, subcloned into pCR-Script (Stratagene) and sequenced using an ABI automated sequencer.

Once sequences are obtained which correspond to the bands of interest, the sequences can be compared to known nucleic acid sequences in the available data bases.

EXAMPLE 5

Method to Identify a Therapeutic or Prophylactic Agent that Modulates the Response of a Granulocyte Population to a Pathogen

The methods set forth in Example 1 offer a powerful approach for identifying therapeutic or prophylactic agents that modulate the expression of neutrophils or other granulocytic cells to a pathogen. For instance, profiles of normal granulocytes and neutrophils or other granulocytes exposed to pathogens such as E. coli, Y. pestis or other pathogenic bacteria are prepared as set forth in Example 1. A profile is also prepared from a granulocyte population that has been exposed to the pathogen in the presence of the agent to be tested. By examining for differences in the intensity of individual bands between the three profiles, agents which up or down regulate genes of interest in the pathogen exposed granulocytes can be identified.

As a specific example, screening for agents which up or down regulate the expression of human pre-B cell enhancing factor (PBEF) can be identified by examining the differences in band intensity between profiles produced from normal granulocytes, granulocytes exposed to the pathogen and granulocytes exposed to the pathogen in the presence of the agent to be tested. As showy in FIG. 4. PBEF is expressed at high levels when exposed to avirulent bacteria, including E. coli K12 and avirulent Y. pestis but is not expressed at high levels in granulocytes exposed to pathogenic Y. pestis. Agents that up regulate PBEF expression as demonstrated by increased band density in the profile produced from granulocytic cells exposed to virulent Y. pestis in the presence of the agent may be useful in modulating the response of neutrophils to bacterial infection.

EXAMPLE 6

Method to Identify a Therapeutic or Prophylactic Agent that Modulates the Expression of Genes in a Granulocyte Cell Population Found in a Subject Having a Sterile Inflammatory Disease.

The methods set forth in Example 4 offer a powerful approach for identifying therapeutic or prophylactic agents that modulate the expression of neutrophils or other granulocytic cells in subjects exhibiting the symptoms of a sterile (non-infectious) inflammatory disease. For instance, gene expression profiles of normal granulocytes and granulocytes from a subject exhibiting the symptoms of a sterile inflammatory disease are prepared as set forth in Examples 1 and 4. A profile is also prepared from a granulocyte population from a subject exhibiting the symptoms of a sterile inflammatory disease that have been exposed to the agent to be tested. By examining these profiles for differences in the intensity of banid between the three profiles, agents which up or down regulate genes of interest in a granulocytic population from a subject exhibiting the symptoms of a sterile inflammatory disease can be identified. Agents that up-regulate a gene or genes that are expressed at abnormally low levels in a granulocytic cell population from a subject exhibiting the symptoms of a sterile inflammatory disease compared to a normal granulocytic cell population as well as agents that down regulate a gene or genes that are expressed at abnormally high levels in a granulocytic cell population from a subject exhibiting the symptoms of a sterile inflammatory disease are contemplated.

EXAMPLE 7

Production of Solid Support Compositions Comprising Groupings of Nucleic Acids that Correspond to the Genes whose Expression Levels are Modulated in a Granulocytic Population that has been Exposed to a Pathogen or Nucleic Acids that Correspond to the Genes Whose Expression Levels are Modulated in a Granulocytic Cell Population from a Subject Having a Sterile Inflammatory Disease.

As set forth in Examples 1-4, expression profiles from granulocytic cells exposed to a pathogen or granulocytic cells from a subject having a sterile inflammatory disease yield the identity of genes whose expression levels are modulated compared to normal. quiescent granulocytic cells.

Solid supports can be prepared that comprise immobilized representative groupings of nucleic acids corresponding to the genes or fragments of said genes from granulocytic cells whose expression levels are modulated in response to exposure to a pathogen or in a subject having a sterile inflammatory disease. For instance, representative nucleic acids can be immobilized to any solid support to which nucleic acids can be immobilized, such as positively charged nitrocellulose or nylon membranes (see Sambrook et al. (1989) Molecular Cloning: a laboratory manual 2nd. Cold Spring Harbor Laboratory) as well as porous glass wafers such as those disclosed by Beattie (WO 95/11755). Nucleic acids are immobilized to the solid support by well established techniques, including charge interactions as well as attachment of derivatized nucleic acids to silicon dioxide surfaces such as glass which bears a terminal epoxide moiety. A solid support comprising a representative grouping of nucleic acids can then be used in standard hybridization assays to detect the presence or quantity of one or more specific nucleic acid species in a sample (such as a total cellular mkNA sample or cDNA prepared from said mRNA) which hybridize to the nucleic acids attached to the solid support. Any hybridization methods, reactions, conditions and/or detection means can be used, such as those disclosed by Sambrook et al. (1989) Molecular Cloning: a laboraton, manual 2nd., Cold Spring Harbor Laboratory, Ausbel et al. (1987) Current Protocols in Molecular Biology, Greene Publishing and Wiley-Interscience or Beattie (WO 95/11755).

One of ordinary skill in the art may determine the optimal number of genes that must be represented by nucleic acid fragments immobilized on the solid support to effectively differentiate between samples, e.g. neutrophils exposed to various pathogens or neutrophils isolated from a patient to be tested for a sterile inflammatory disease. Preferably, at least about 5, 10, 20, 50, 100, 150, 200, 300, 500, 1000 or more preferably, substantially all of the detectable mRNA species in a cell sample or population will be present in the gene expression profile or array affixed to a solid support. More preferably, such profiles or arrays will contain a sufficient representative number of mRNA species whose expression levels are modulated under the relevant infection, disease, screening, treatment or other experimental conditions. In most instances, a sufficient representative number of such mRNA species will be about 1, 2, 5, 10, 15, 20, 25, 30, 40, 50, 50-75 or 100 in number and will be represented by the nucleic acid molecules or fragments of nucleic acid molecules immobilized on the solid support. For example, nucleic acids encoding all or a fragment of one or more of the known genes or previously reported ESTs that are identified in FIG. 4 and Tables 1 and 2 may be so immobilized. The skilled artisan will be able to optimize the number and particular nucleic acids for a given purpose, i.e., screening for modulating agents, identifying activated granulocytes, etc.

EXAMPLE 9

Method of Diagnosing Exposure of a Subject to a Pathogen.

Expression profiles of RNA expression levels from neutrophils exposed to various bacteria, such as those disclosed in Examples 1 and 3, offer a powerful means to diagnose exposure of a subject to a pathogen. As set forth in Examples 1 and 3, the display patterns generated from cDNAs made with RNA isolated from neutrophils exposed to pathogenic and nonpathogenic E. coli and Y pestis exhibit unique patterns of cDNA species corresponding to neutrophil mRNA species (genes) whose expression levels are modulated in response to contact of the neutrophils with the bacteria. The contacting of neutrophils with different species of pathogens may result in the production of expression profiles that are unique to each pathogen species or strain. These unique expression profiles are useful in diagnosing whether a subject has been exposed to or is infected with a given pathogen.

Briefly, expression profiles are produced as set forth in Example 1 using neutrophil samples exposed to various pathogens, such as pathogenic strains of E. coli, Y. pestis, Staphylococci, Streptococci or any other bacterial species. Neutrophils are then isolated from the subject to be tested for exposure to a pathogen and an expression profile prepared from the subject's neutrophils by the methods set forth in Example 1. The expression profile prepared from the subject neutrophils can then be compared to the expression profiles prepared from neutrophils exposed to the various pathogen species or strains to determine which expression profile most closely matches the expression profile prepared from the subject, thereby, diagnosing exposure of the subject to a pathogen.

EXAMPLE 10

Method of Diagnosing a Sterile Inflammatory Disease in a Subject

Expression profiles of RNA expression levels from neutrophils isolated from a subject having a sterile inflammatory disease, such as those disclosed in Example 4, offer a powerful means to diagnose inflammatory diseases such as psoriasis, rheumatoid arthritis, glomerulonephritis, asthma, cardiac and renal reperfusion injury, thrombosis, adult respiratory distress syndrome, inflammatory bowel diseases such as Crohn's disease and ulcerative colitis and periodontal disease. As set forth in Example 4, the gene expression profiles generated from cDNAs made with RNA isolated from neutrophils from subjects having various sterile inflammatory diseases may exhibit unique patterns of cDNA species corresponding to neutrophil mRNA species (genes) whose expression levels are modulated during the inflammatory process. These unique expression profiles are useful in diagnosing whether a subject has a sterile inflammatory disease.

Briefly, expression profiles are produced as set forth in Examples 1 and 4 using neutrophil samples isolated from patients with various sterile inflammatory diseases. Neutrophils are then isolated from the subject to be tested and an expression profile prepared from the subject's neutrophils by the methods set forth in Example 1. The expression profile prepared from the subject neutrophils can then be compared to the expression profiles prepared from neutrophils isolated from patients with various sterile inflammatory diseases to determine which expression profile most closely matches the expression profile prepared from the subject, thereby, diagnosing whether the subject has a sterile inflammatory disease.

It should be understood that the foregoing discussion and examples merely present a detailed description of certain preferred embodiments. It therefore should be apparent to those of ordinary skill in the art that various modifications and equivalents can be made without departing from the spirit and scope of the invention. All articles, patents and texts that are identified above are incorporated by reference in their entirety. 

1. A method to identify a therapeutic or prophylactic agent that modulates the response of a granulocyte population to a pathogen, comprising the steps of: preparing a first gene expression profile of a quiescent granulocyte population; preparing a second gene expression profile of a granulocyte population exposed to the pathogen; treating the exposed granulocyte population with the agent; preparing a third gene expression profile of the treated granulocyte population; comparing the first, second and third gene expression profiles; and identifying agents that modulate the response of a granulocytic population to the pathogen.
 2. The method of claim 1, wherein the granulocyte population is selected from the group consisting of a population of neutrophils, basophils and eosinophils.
 3. The method of claim 1, wherein the pathogen is selected from the group consisting of bacteria, viruses, fungi and parasites.
 4. The method of claim 3 wherein the pathogen is selected from the group consisting of Gram positive and Gram negative bacteria.
 5. The method of claim 3, wherein the pathogen is selected from the group consisting of Staphylococci, Streptococci, Clostridia, Neisseria, Enterobacteriaceae, Helicobacter, Vibrio, Campylobacter, Pseudomonas, Haemophilus, Bordetella, Mycoplasma, Ureaplasma, Legionella, Spirochetes, Mycobacteria, Actinomyces, Nocardia, Chlamydia, Rickettsia, Coxiella, Ehrilichia, Rochalimaea, Brucella, Yersinia, Fracisella, and Pasteurella.
 6. A method to identify a therapeutic agent that modulates the expression of at least one gene in a granulocyte population found in a subject having a sterile inflammatory disease; comprising the steps of: preparing a first gene expression profile of a granulocyte population in a subject having the sterile inflammatory disease; treating the granulocyte population with the agent; preparing a second gene expression profile of the treated granulocyte population; comparing the first and second gene expression profiles with the gene expression profile of a normal granulocyte preparation; and identifying an agent that modulates the expression of at least one gene whose transcription levels are altered in the granulocyte population of the subject as compared with normal granulocyte population.
 7. The method of claim 6, wherein the granulocyte population is selected from the group consisting of a population of neutrophils, basophils and eosinophils.
 8. The method of claim 6, wherein the sterile inflammatory disease is selected from the group consisting of psoriasis, rheumatoid arthritis, glomerulonephritis, asthma, cardiac and renal reperfusion injury, thrombosis, adult respiratory distress syndrome, inflammatory bowel diseases such as Crohn's disease and ulcerative colitis and periodontal disease.
 9. A composition comprising a grouping of nucleic acids that correspond to the genes or fragments of genes whose expression levels are modulated in a granulocyte population that has been exposed to a pathogen affixed to a solid support.
 10. A composition comprising a grouping of nucleic acids that correspond to the genes or fragments of genes whose expression levels are modulated in a granulocyte population found in a subject having a sterile inflammatory disease affixed to a solid support.
 11. A method of diagnosing exposure of a subject to a pathogen, comprising the steps of: preparing a first gene expression profile of a granulocyte population from the subject; comparing the first gene expression profile to a second gene expression profile of a granulocyte population exposed to the pathogen and to a third gene expression profile of a normal granulocyte preparation; and determining if the subject was exposed to a pathogen.
 12. A method of diagnosing a sterile inflammatory disease in a subject, comprising the steps of: preparing a first gene expression profile of a granulocyte population from the subject; comparing the first gene expression profile to at least one second gene expression profile from a granulocyte population from a subject having a sterile inflammatory disease and to a third gene expression profile of a normal granulocyte population; and determining if the subject has a sterile inflammatory disease.
 13. The method of claim 12, wherein the sterile inflammatory disease is glomerulo-nephritis. 